10 citations
4 papers
SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology
Marco Acerbis, Swarnadip Chatterjee, Christophe Avenel +1
Computational cytology faces two major challenges: i) instance-level labels are unreliable and prohibitively costly to obtain, ii) witness rates are extremely low. We propose SLAM-…
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
Marco Acerbis, Nataša Sladoje, Joakim Lindblad
Accurate and efficient cell detection is crucial in many biomedical image analysis tasks. We evaluate the performance of several Deep Learning (DL) methods for cell detection in Pa…
Cell segmentation of in situ transcriptomics data using signed graph partitioning
Axel Andersson, Andrea Behanova, Carolina Wählby +1
The locations of different mRNA molecules can be revealed by multiplexed in situ RNA detection. By assigning detected mRNA molecules to individual cells, it is possible to identify…
Whole slide image registration for the study of tumor heterogeneity
Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita +3
Consecutive thin sections of tissue samples make it possible to study local variation in e.g. protein expression and tumor heterogeneity by staining for a new protein in each secti…